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Split.io AI Agents

Split.io AI Agents

Transform feature management with AI agents that automate flag operations, analyze experiments, and make intelligent release decisions.

No-code AI automation
Enterprise-grade security
Free tier available

Trusted by leading companies worldwide

Canva Databricks Confluent Autodesk Lightspeed Rakuten Freshworks Aveva Employment Hero Qualified ThoughtSpot Activision Zembl Stride

What are Split.io AI Agents?

Split.io AI agents transform feature management by automating flag operations, experiment analysis, and intelligent decision-making for software releases. These digital teammates bridge product, engineering, and data teams through contextual insights and proactive monitoring.

Core Capabilities

  • Natural Language Flag Management: Create and modify feature flags through conversation rather than UI navigation.
  • Proactive Experiment Insights: Continuously monitor experiments and surface statistically significant findings automatically.
  • Automated Rollback Protection: Detect negative feature impacts in real-time with automatic change reversal.
  • Cross-Team Coordination: Bridge product, engineering, and data teams through shared contextual insights.
  • Contextual Documentation: Provide relevant answers about Split.io capabilities tailored to your specific setup.

Intelligent Automation

Instead of manually analyzing dashboards, AI agents continuously monitor experiments and surface statistically significant findings. This transforms feature management from reactive monitoring to proactive optimization.

  • Real-time performance monitoring across user segments
  • Orchestrated gradual rollouts with automatic health monitoring
  • Automated compliance and audit trail maintenance
  • Risk assessment based on historical deployment patterns

What Can You Build?

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Release Management

  • • Natural language feature flag management
  • • Proactive experiment insights
  • • Automated rollback protection
  • • Real-time performance monitoring
🎮

Gaming

  • • Gradual matchmaking system rollouts
  • • Player retention monitoring
  • • Feature impact analysis
  • • Risk-based deployment strategies
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E-commerce

  • • Revenue optimization through A/B testing
  • • Segmented feature testing
  • • Peak season deployment management
  • • Conversion impact tracking

Key Use Cases

Feature Flag Management

Real-time monitoring of performance across user segments with intelligent flag control.

A/B Testing Analysis

Process vast experiment datasets for actionable insights automatically.

Release Management

Orchestrate gradual rollouts with automatic health monitoring and risk detection.

User Segmentation

Refine targeting strategies through continuous behavior analysis.

Performance Monitoring

Detect anomalies and correlate issues with specific features instantly.

Compliance & Documentation

Maintain audit trails of flag changes automatically for regulatory compliance.

Cross-Team Coordination

Centralize feature experiment updates for all stakeholders.

Risk Assessment

Evaluate deployment risks based on historical patterns and data.

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